[Comp-neuro] PhD / postdoc position "Risk-sensitive choice and reinforcement learning under uncertainty"

Obermayer, Klaus, Prof. Dr. klaus.obermayer at tu-berlin.de
Tue Jan 15 16:57:08 CET 2019

Dear moderator,

would you be so kind to post the job announcement below?

Best regards

Klaus Obermayer


Research Assistant (PhD / PostDoc position)

Neural Information Processing Group
Technische Universität Berlin
Berlin, Germany

Risk-sensitive choice and reinforcement learning under uncertainty

Salary level: TV-L 13 (100%)
Duration: 3 years
Starting date: April 1st, 2019

Application deadline: February 15th, 2019 (but later applications may also be considered)

Working field

The successful candidate will join a DFG funded project (with Co-PI Dirk Ostwald, Freie Universität Berlin) which combines computational modelling with behavioral and fMRI experiments. The goal is to better understand human decision making and reward-based learning under perceptual uncertainty. The computational framework generalizes the risk-sensitive MDP approach of Yun et al. 2014 (Neural Comput. 26, 1298ff) to a POMDP-based behavioral modelling framework. Planned experiments address response time behavior and neural reinforcement learning processes under perceptual risk. The work program can be biased either towards computational or experimental work depending on the qualifications of the candidate.


Successfully completed university degree in a subject relevant to the work program; very good programming and English language skills; solid background in decision making and reward-based learning on a theoretical and / or experimental level; experience with computational modelling and the model-based analysis of behavioral and fMRI data is desirable.

How to apply:

Please send your application with the usual documents (CV, letter of motivation, transcripts of records, certificates, and the names of two persons who can provide recommendation letters) to Prof. Dr. Klaus Obermayer (FG Neuronale Informationsverarbeitung, Sekr. MAR 5-6, Marchstr. 23, 10587 Berlin) preferably by e-mail (klaus.obermayer at tu-berlin.de).

Please send copies only. Original documents will not be returned.

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